A hierarchical network-oriented analysis of user participation in misinformation spread on WhatsApp
WhatsApp emerged as a major communication platform in many countries in the recent
years. Despite offering only one-to-one and small group conversations, WhatsApp has been …
years. Despite offering only one-to-one and small group conversations, WhatsApp has been …
“Why tag me?”: Detecting motivations of comment tagging in Instagram
Tagging a friend in a comment is one of the main mechanisms to lead user interaction in
social media. This paper investigates the current practice of user tagging in Instagram by …
social media. This paper investigates the current practice of user tagging in Instagram by …
On network backbone extraction for modeling online collective behavior
Collective user behavior in social media applications often drives several important online
and offline phenomena linked to the spread of opinions and information. Several studies …
and offline phenomena linked to the spread of opinions and information. Several studies …
A gradient boosted decision tree-based influencer prediction in social network analysis
N Subramani… - Big Data and Cognitive …, 2023 - mdpi.com
Twitter, Instagram and Facebook are expanding rapidly, reporting on daily news, social
activities and regional or international actual occurrences. Twitter and other platforms have …
activities and regional or international actual occurrences. Twitter and other platforms have …
Commenter Behavior Characterization on YouTube Channels
YouTube is the second most visited website in the world and receives comments from
millions of commenters daily. The comments section acts as a space for discussions among …
millions of commenters daily. The comments section acts as a space for discussions among …
The dark side of metaverse: A multi-perspective of deviant behaviors from PLS-SEM and fsQCA findings
The metaverse has created a huge buzz of interest because such a phenomenon is
emerging. The behavioral aspect of the metaverse includes user engagement and deviant …
emerging. The behavioral aspect of the metaverse includes user engagement and deviant …
SocialPET: Socially Informed Pattern Exploiting Training for Few-Shot Stance Detection in Social Media
PJ Khiabani, A Zubiaga - arXiv preprint arXiv:2403.05216, 2024 - arxiv.org
Stance detection, as the task of determining the viewpoint of a social media post towards a
target as' favor'or'against', has been understudied in the challenging yet realistic scenario …
target as' favor'or'against', has been understudied in the challenging yet realistic scenario …
Temporal dynamics of posts and user engagement of influencers on Facebook and Instagram
A relevant fraction of human interactions occurs on online social networks. Freshness of
content seems to play an important role, with content popularity rapidly vanishing over time …
content seems to play an important role, with content popularity rapidly vanishing over time …
Uncovering coordinated communities on twitter during the 2020 us election
RS Linhares, JM Rosa, CHG Ferreira… - 2022 IEEE/ACM …, 2022 - ieeexplore.ieee.org
A large volume of content related to claims of election fraud, often associated with hate
speech and extremism, was reported on Twitter during the 2020 US election, with evidence …
speech and extremism, was reported on Twitter during the 2020 US election, with evidence …
Mining and modelling temporal dynamics of followers' engagement on online social networks
A relevant fraction of human interactions occurs on online social networks. In this context,
the freshness of content plays an important role, with content popularity rapidly vanishing …
the freshness of content plays an important role, with content popularity rapidly vanishing …